How Predictable is the Chinese Stock Market?
We analyze return predictability for the Chinese stock market, including the aggregate market portfolio and the components of the aggregate market, such as portfolios sorted on industry, size, book-to-market and ownership concentration. Considering a variety of economic variables as predictors, both...
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sg-smu-ink.etd_coll-10562015-09-14T02:39:11Z How Predictable is the Chinese Stock Market? JIANG, Fuwei We analyze return predictability for the Chinese stock market, including the aggregate market portfolio and the components of the aggregate market, such as portfolios sorted on industry, size, book-to-market and ownership concentration. Considering a variety of economic variables as predictors, both in-sample and out-of-sample tests highlight significant predictability in the aggregate market portfolio of the Chinese stock market and substantial differences in return predictability across components. Among industry portfolios, Finance and insurance, Real estate, and Service exhibit the most predictability, while portfolios of small-cap and low ownership concentration firms also display considerable predictability. Two key findings provide economic explanations for component predictability: (i) based on a novel out-of-sample decomposition, time-varying macroeconomic risk premiums captured by the conditional CAPM model largely account for component predictability; (ii) industry concentration and market capitalization significantly explain differences in return predictability across industries, consistent with the information-flow frictions emphasized by Hong, Torous, and Valkanov (2007). 2010-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/etd_coll/57 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1056&context=etd_coll http://creativecommons.org/licenses/by-nc-nd/4.0/ Dissertations and Theses Collection (Open Access) eng Institutional Knowledge at Singapore Management University return predictability industries size book-to-market rational asset pricing information-flow frictions Asian Studies Portfolio and Security Analysis |
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return predictability industries size book-to-market rational asset pricing information-flow frictions Asian Studies Portfolio and Security Analysis JIANG, Fuwei How Predictable is the Chinese Stock Market? |
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We analyze return predictability for the Chinese stock market, including the aggregate market portfolio and the components of the aggregate market, such as portfolios sorted on industry, size, book-to-market and ownership concentration. Considering a variety of economic variables as predictors, both in-sample and out-of-sample tests highlight significant predictability in the aggregate market portfolio of the Chinese stock market and substantial differences in return predictability across components. Among industry portfolios, Finance and insurance, Real estate, and Service exhibit the most predictability, while portfolios of small-cap and low ownership concentration firms also display considerable predictability. Two key findings provide economic explanations for component predictability: (i) based on a novel out-of-sample decomposition, time-varying macroeconomic risk premiums captured by the conditional CAPM model largely account for component predictability; (ii) industry concentration and market capitalization significantly explain differences in return predictability across industries, consistent with the information-flow frictions emphasized by Hong, Torous, and Valkanov (2007). |
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JIANG, Fuwei |
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JIANG, Fuwei |
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JIANG, Fuwei |
title |
How Predictable is the Chinese Stock Market? |
title_short |
How Predictable is the Chinese Stock Market? |
title_full |
How Predictable is the Chinese Stock Market? |
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How Predictable is the Chinese Stock Market? |
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How Predictable is the Chinese Stock Market? |
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how predictable is the chinese stock market? |
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Institutional Knowledge at Singapore Management University |
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2010 |
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https://ink.library.smu.edu.sg/etd_coll/57 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1056&context=etd_coll |
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